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Conceptualizing Cognitive and Agentic Digital Twins

dc.creatorSilva Sprock, Antonioen
dc.creatorSilva Sprock, Oscaren
dc.date2026-05-31
dc.date.accessioned2026-08-03T16:43:30Z
dc.date.available2026-08-03T16:43:30Z
dc.identifierhttps://imjeta.org/index.php/IMJETA/article/view/Conceptualizing-Cognitive-and-Agentic-Digital-Twins
dc.identifier10.67294/knpyhb26
dc.identifier.urihttp://bdigital2.ula.ve:8080/xmlui/654321/26927
dc.descriptionDigital Twins (DTs) have extended beyond the original concept of a static digital model, to a dynamic, data-driven, and increasingly intelligent cyber-physical structure, which underlies modern Industry 4.0 systems. The paper gives a comprehensive and integrative conceptualization of DTs, Cognitive Digital Twins (CDTs), and agentic AI-enhanced DTs through an organized narrative literature review which synthesizes the foundational definitions, the theoretical differences between DTs and Cyber-Physical Systems (CPS), and the evolution of Digital Models and Digital Shadows to fully synchronous, two-way DTs. The research synthesizes the major architectural models, such as layered, multi-dimensional, cognitive and agentic models, and discusses the facilitating technologies that enable real-time synchronization, semantic reasoning, and autonomous decision-making. The state-of-the-art analysis indicates that the key research trends include ecosystem-based DTs, AI-driven analytics, semantic enrichment, and the development of LLM-enabled agentic DTs that are able to plan and coordinate actions in a goal-oriented manner. The paper also compares industrial and open-source DT platforms, outlines the present-day limitations in semantic interoperability, cognitive integration, and autonomy and demonstrates real-world applications in manufacturing, healthcare, smart cities, and energy systems. The discussion proposes future research directions such as standardized cognitive layers, safe LLM grounding, multi-DT coordination, and governance frameworks of autonomous DT ecosystems. Overall, the paper contributes a unified conceptual model and a holistic synthesis that connects theory, architecture, technology, and application, providing a foundation for advancing the next generation of intelligent Digital Twin systems.en
dc.formatapplication/pdf
dc.languageen
dc.publisherGrupo Afronta C.A.en
dc.relationhttps://imjeta.org/index.php/IMJETA/article/view/Conceptualizing-Cognitive-and-Agentic-Digital-Twins/11
dc.rightsCopyright (c) 2026 Dr. Antonio Silva Sprock, Dr. Oscar Silva Sprock (Author)en
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0en
dc.sourceInternational Multidisciplinary Journal of Emerging Technologies and Applications; Vol. 1 No. 2 (2026); 16-40en
dc.source3135-6214
dc.subjectDigital Twinen
dc.subjectCognitive Digital Twinen
dc.subjectAgentic AIen
dc.subjectLarge Language Modelsen
dc.subjectCyber-Physical Systemsen
dc.subjectSemantic Interoperabilityen
dc.subjectMulti-Agent Systemsen
dc.titleConceptualizing Cognitive and Agentic Digital Twinsen
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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